Top Machine Learning Jobs

The role involves developing intelligent algorithms for AI models, optimizing ML processes, and supporting innovation labs for national security applications.

Join NVIDIA as a Senior Machine Learning Engineer focusing on humanoid robotics. Collaborate on projects involving humanoid loco-manipulation, contribute to foundation models, and implement algorithms for robot locomotion. Requires strong programming skills and significant robotics experience.

The AI/ML Engineer develops and supports data pipelines, integrates model production, conducts data analysis, and aids in business process evaluation. Responsible for monitoring models and participating in special projects.

As a Machine Learning Engineer at Moloco, you will design and optimize ML infrastructure for scaling ad serving and model training, collaborate across teams, and enhance system reliability and performance.

Design, develop, and implement machine learning models and algorithms, focusing on AI systems and traditional ML models for various applications. Collaborate with teams to deploy solutions and analyze performance.

Lead a team of ML Engineers and Data Scientists to develop and operationalize machine learning models for personalized customer experiences, overseeing all aspects from research to deployment.

Lead the design, development, and implementation of advanced machine learning models, collaborating with teams to enhance services through AI/ML solutions.

The Senior Staff Machine Learning Scientist will drive AI-driven solutions, develop ML frameworks for recommendations, and lead technical direction for personalized customer experiences.

Lead the development of advanced machine learning models and systems at PayPal, optimizing for performance and real-time decisioning. Collaborate with teams for integration and monitor deployed models.

Design, develop, and implement machine learning models and algorithms. Collaborate with teams, optimize models, and ensure data quality for production deployment.

As a Senior Staff Machine Learning Engineer, you'll develop AI-driven solutions to optimize customer experiences through advanced ML frameworks, focusing on recommendations and personalization.

This role focuses on leading machine learning initiatives, developing models, analyzing data, and mentoring junior engineers to enhance risk solutions at PayPal.

Lead the development of AI-driven machine learning solutions to optimize customer experience through personalization and recommendations, while guiding team technical direction.

Design, develop, and implement machine learning models and algorithms to solve complex problems, collaborating with data scientists and software engineers.

The AI and ML Engineer will develop and maintain AI/ML models, collaborate with teams to deliver solutions for national security, and apply algorithms.

The role involves designing and productionalizing ML models for customer attrition prediction. Responsibilities include building scalable data pipelines, maintaining ML services, and mentoring junior engineers.

Design and build core ML systems for AI agents, managing the lifecycle from problem framing to deployment, ensuring solutions are scalable and enterprise-ready.

As a Machine Learning Engineer at FanDuel, you'll develop scalable ML applications, enhance user experience through intelligent systems, and collaborate across teams to validate AI insights.

The Machine Learning Engineer will design and implement search systems, develop scalable serving systems for ML, and collaborate with teams to productionize AI insights, requiring engagement with big data and machine learning frameworks.

The Senior Staff AI/ML Engineer will design, develop, and deploy scalable machine learning models, collaborating with teams to address business challenges and ensure high performance in production environments.

Develop and evaluate learning-based solutions for robotic manipulation, improve decision making using multimodal inputs, and transition prototypes into production systems.

The ML Engineer will build, deploy, and iterate on ML systems, focusing on classification, human feedback loops, and working with real-world data.

The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.

The ML/AI Engineer will define machine learning direction, develop automated pipelines, integrate models, and collaborate with product teams to solve user problems.

Develop and implement machine learning models for evaluating disputes and chargebacks, and create a model orchestration layer. Collaborate on data use for enhanced user experiences.